decoder_beam_search_output

calculate the scores for each beam

scores

The final prediction. A tensor of shape
`[batch_size, T, beam_width]` (or `[T, batch_size, beam_width]` if `output_time_major`
is `TRUE`). Beams are ordered from best to worst.

predicted_ids

The parent ids of shape `[max_time, batch_size, beam_width]`.

parent_ids

'TensorFlow SIG Addons' <https://www.tensorflow.org/addons> is a repository
of community contributions that conform to well-established API patterns,
but implement new functionality not available in core 'TensorFlow'.
'TensorFlow' natively supports a large number of operators, layers, metrics,
losses, optimizers, and more. However, in a fast moving field like Machine Learning,
there are many interesting new developments that cannot be integrated into
core 'TensorFlow' (because their broad applicability is not yet clear, or
it is mostly used by a smaller subset of the community).

decoder_beam_search_output: Beam Search Decoder Output

Description

Usage

Arguments

Value